Technical Lead - AI / ML
India
Zinnia
Zinnia offers comprehensive technology solutions for insurance carriers and distributors across the full lifecycle of insurance policy administration.WHO WE ARE:
Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders.
WHO YOU ARE:
A passionate and skilled Python, AI/ML Lead Engineer with 7+ years of experience. As a Python/AI Lead, you will oversee the development and implementation of machine learning models, AI-driven solutions, and data-driven products. You will guide a team of engineers and collaborate with cross-functional teams to ensure the timely and high-quality delivery of projects. If you thrive in a fast-paced environment and love solving complex problems using data and intelligent algorithms, we’d love to hear from you.
WHAT YOU’LL DO:
- Lead the design, development, and deployment of Gen AI and machine learning solutions using Python.
- Provide technical guidance and mentorship to team members, ensuring code quality, best practices, and performance optimization.
- Collaborate with product managers, data scientists, and other stakeholders to define project requirements and objectives.
- Take ownership of the full software development lifecycle (SDLC), from design to deployment, maintenance, and optimization.
- Perform code reviews, write technical documentation, and maintain high standards of software quality.
- Stay up to date with the latest trends and advancements in AI, machine learning, and Python development.
- Identify and mitigate technical risks in projects while ensuring timely delivery.
- Foster a collaborative environment and promote knowledge sharing across the engineering team.
WHAT YOU’LL NEED:
- 7+ years of professional experience in Python development, with at least 2 years in a technical leadership role.
- Strong hands-on experience with AI/ML frameworks, Gen AI LLMs and libraries such as TensorFlow, Scikit-learn, or Keras.
- Python – Strong hands-on experience.
- Machine Learning – Practical knowledge of supervised, unsupervised, and deep learning techniques.
- Generative AI – Experience working with LLMs or similar GenAI technologies.
- API Development – RESTful APIs and integration of ML models into production services.
- Databases – Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, etc.).
Good to Have Skills:
- Cloud Platforms – Familiarity with AWS, Azure, or Google Cloud Platform (GCP).
- TypeScript/JavaScript – Frontend or full-stack exposure for ML product interfaces.
- Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, etc.)
- Exposure to containerization (Docker) and orchestration (Kubernetes)
WHAT’S IN IT FOR YOU?
At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: API Development APIs AWS Azure Deep Learning Docker Engineering GCP Generative AI Google Cloud JavaScript Keras Kubeflow Kubernetes LLMs Machine Learning MLFlow ML models MLOps MongoDB NoSQL PostgreSQL Python Scikit-learn SDLC SQL TensorFlow TypeScript
Perks/benefits: Career development Insurance
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